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@pkydrm.bsky.social

research scientist @MosaicML x @Databricks re: rlhf, humans in the loop, and figuring out what it means to have a good model 🤖🧑‍🎨✨

What are your favorite recent papers on using LMs for annotation (especially in a loop with human annotators), synthetic data for task-specific prediction, active learning, and similar? Looking for practical methods for settings where human annotations are costly. A few examples in thread ↴

I am once again pitching my romantic comedy: - two academics start dating - discover they are each other's terrible reviewer - hijinks ensue Working title: Love is Double-Blind

i wish i could shout this from the rooftops. relatedly, there's no need for robots to be limited by the human form. similar/tangential thing came up in the 2010s with respect to self-driving: just because people only sense using their eyes doesn't mean cars have to only use cameras!

Eugene Vinitsky 🍒@eugenevinitsky.bsky.social · last yr.

A sensible perspective on humanoids in manufacturing (TLDR: if you can make humanoids, you can probably make better, more manufacturing specific things) blog.spec.tech/p/humanoid-r...

No labels, no problem! I am so excited for this release. We have been working on it for many months, and it's motivated by a common customer roadblock: insufficient labeled examples.

Jonathan Frankle@jfrankle.com · last yr.

The hardest part about finetuning is that people don't have labeled data. Today, @databricks.bsky.social introduced TAO, a new finetuning method that only needs inputs, no labels necessary. Best of all, it actually beats supervised finetuning on labeled data. www.databricks.com/blog/tao-usi...

has anyone successfully gotten very involved with their local library system and, if so, how does one do so? i know there are volunteer opportunities and it is my dream to one day organize a crafting circle, but i'm talking about how the library actually organizes / functions / prioritizes things!

🧵 Super proud to finally share this work I led last quarter - the @databricks.bsky.social Domain Intelligence Benchmark Suite (DIBS)! TL;DR: Academic benchmarks ≠ real performance and domain intelligence > general capabilities for enterprise tasks. 1/3

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this is incredible research, and beautiful. would love to know more about what it's like to meaningfully interact with genie 2, or similar models, e.g. to modify the outputs of such a model in the service of a design vision.

Jack Parker-Holder@jparkerholder.bsky.social · 2y ago

Genie 2 can also turbocharge environment design for humans, making it possible to step in and play from concept art 🎨, such as the beautiful work below from one of our rockstar designers.